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Interpretation of Death Rates Data

Death Rate Report for Kentucky by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Both Sexes, Ages 50+

Sorted by Count

Explanation of Column Headers

Objective - The objective of 122.7 is from the Healthy People 2020 project done by the Centers for Disease Control and Prevention.

Death Rate (95% Confidence Interval) - The death rate is based upon 100,000 people and is for 5 year(s). Rates are age-adjusted by 5-year age groups to the 2000 U.S. standard million population (the Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal).

Recent Trends - This is an interpretation of the AAPC:

AAPC (95% Confidence Interval) - The Average Annual Percent Change is the change in rate over time. These AAPCs are based upon APCs that were calculated by Joinpoint Regression Program


Other Notes


Line by Line Interpretation of the Report


Kentucky


United States


Jefferson County


Fayette County


Kenton County


Warren County


Daviess County


Hardin County


Boone County


Campbell County


Pulaski County


Pike County


Madison County


McCracken County


Bullitt County


Laurel County


Boyd County


Christian County


Hopkins County


Floyd County


Franklin County


Barren County


Henderson County


Greenup County


Whitley County


Oldham County


Nelson County


Jessamine County


Shelby County


Marshall County


Knox County


Graves County


Perry County


Clark County


Scott County


Harlan County


Calloway County


Muhlenberg County


Bell County


Carter County


Grayson County


Boyle County


Montgomery County


Logan County


Lincoln County


Letcher County


Taylor County


Johnson County


Meade County


Ohio County


Mercer County


Clay County


Wayne County


Russell County


Woodford County


Anderson County


Bourbon County


Breckinridge County


Hart County


Allen County


Grant County


Lawrence County


Harrison County


Rowan County


Casey County


Simpson County


McCreary County


Adair County


Henry County


Mason County


Fleming County


Garrard County


Marion County


Knott County


Butler County


Lewis County


Estill County


Trigg County


Rockcastle County


Pendleton County


Larue County


Morgan County


Union County


Jackson County


Powell County


Breathitt County


Leslie County


Spencer County


Monroe County


Washington County


Webster County


Magoffin County


Bath County


Todd County


Green County


Caldwell County


Livingston County


Edmonson County


Martin County


Metcalfe County


Clinton County


Carroll County


McLean County


Crittenden County


Cumberland County


Lyon County


Owen County


Wolfe County


Hancock County


Ballard County


Menifee County


Lee County


Gallatin County


Nicholas County


Elliott County


Trimble County


Bracken County


Fulton County


Hickman County


Carlisle County


Owsley County


Robertson County




Notes:
Created by statecancerprofiles.cancer.gov on 12/01/2022 12:55 pm.

State Cancer Registries may provide more current or more local data.
Trend
Rising when 95% confidence interval of average annual percent change is above 0.
Stable when 95% confidence interval of average annual percent change includes 0.
Falling when 95% confidence interval of average annual percent change is below 0.

† Death data provided by the National Vital Statistics System public use data file. Death rates calculated by the National Cancer Institute using SEER*Stat. Death rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). The Healthy People 2030 goals are based on rates adjusted using different methods but the differences should be minimal. Population counts for denominators are based on Census populations as modified by NCI.
The US Population Data File is used with mortality data.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.



Please note that the data comes from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.

Interpret Rankings provides insight into interpreting cancer incidence statistics. When the population size for a denominator is small, the rates may be unstable. A rate is unstable when a small change in the numerator (e.g., only one or two additional cases) has a dramatic effect on the calculated rate.

Data for United States does not include Puerto Rico.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.